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principles, and proficiency in Microsoft Office and specialised research software are essential, with experience in AI tool development considered highly advantageous. About Monash University At Monash , work
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assessments (LCA) to quantify the environmental impacts of proposed processes and compare them with conventional alternatives. Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS
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to accelerate access to, and adoption of, drugs, devices and diagnostics tests for patients living with chronic inflammatory diseases. The NIHR Birmingham BRC brings together the expertise of University Hospitals
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
limited to testing fusion materials and their joints to the effect of irradiation, high temperature, heat flux/plasmas, quantify thermo-mechanical property degradation and map failure mechanisms to guide
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and execute patch-clamp electrophysiology experiments in tissue slices and dissociated neuronal culture to test specific hypotheses related to chronic sensitization. The postdoc will organize, analyze
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knowledge in modeling light propagation in non-Hermitian random media. Proficiency in programming languages such as Matlab, Mathematica, or Python. Proficiency in using electromagnetic simulation software
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the Commonwealth Bank of Australia (CBA) to examine applications of insights from behavioral economics to the design of financial products and services aimed at helping customers take action to reduce carbon
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Experience with high-throughput sequencing omics data analysis Proficiency in programming with Python, R, or C++ Candidates without a master’s degree have until 31 August 2025 to complete the final exam
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excellent interpersonal skills. About You You will hold a PhD in a relevant subject such as Aerospace, Mechanical, Electrical, or Software Engineering for the Research Fellow position, or hold a Master's
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analytics. Virtual screening and efficacy testing using AI-driven approaches to identify promising drug candidates from large chemical libraries. (Retro)synthesis planning using AI to propose feasible